Title :
Simulation of pedestrian flow based on cluster temperature
Author :
Shiwei Li ; Jianqiang Wang
Author_Institution :
Sch. of Traffic & Transp., Lanzhou Jiaotong Univ., Lanzhou, China
Abstract :
This paper defines individual temperature of pedestrian flow. After that, it calculates every pedestrian´s individual temperature in each time-step, and uses the mean of individual temperature to express cluster temperature. Simulation of pedestrian flow is based on cellular automata model. In early and middle period, the cluster temperature has significant decrease with evacuation time in the process of evacuation. However, the cluster temperature has obvious characteristics of tailing in later stage. It is shown that the cluster temperature is not only influenced by system scale, but also directly restricted by pedestrian density.
Keywords :
cellular automata; digital simulation; pedestrians; cellular automata model; cluster temperature; pedestrian density; pedestrian flow simulation; tailing characteristics; Automata; Biological system modeling; Equations; Mathematical model; Psychology; Temperature distribution; cellular automata; cluster temperature; evacuation time; individual temperature; pedestrian flow;
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
DOI :
10.1109/PIC.2014.6972301